% will's
@InProceedings{sigkdd12-WuAgarwalEtAl-one_of_the_few,
  title        = {On ``One of the Few'' Objects},
  author       = {You Wu and Pankaj K Agarwal and Chengkai Li and Jun
                  Yang and Cong Yu},
  crossref     = {sigkdd12},
  pages        = {1487--1495},
}

@InProceedings{sigmod14-WuWalenzEtAl-icheck,
  title        = {iCheck: Computationally Combatting ``Lies, D--ned
                  Lies, and Statistics''. Demonstration description},
  author       = {You Wu and Brett Walenz and Peggy Li and Andrew Shim
                  and Emre Sonmez and Pankaj K Agarwal and Chengkai Li
                  and Jun Yang and Cong Yu},
  crossref     = {sigmod14},
  pages        = {1063--1666},
}

@Article{vldb14-WuAgarwalEtAl-fact_checking,
  title        = {Toward Computational Fact-Checking},
  author       = {You Wu and Pankaj K Agarwal and Chengkai Li and Jun
                  Yang and Cong Yu},
  journal      = pvldb,
  volume       = {7},
  number       = {7},
  pages        = {589--600},
  year         = {2014}
}

@Article{vldb14-HassanSultanaEtAl-factwatcher,
  title        = {Data In, Fact Out: Automated Monitoring of Facts by
                  FactWatcher. Demonstration description},
  author       = {Naeemul Hassan and Afroza Sultana and You Wu and
                  Gensheng Zhang and Chengkai Li and Jun Yang and
                  Cong Yu},
  journal      = pvldb,
  volume       = {7},
  number       = {13},
  pages        = {1557--1560},
  year         = {2014}
}

@Article{compjour14-WalenzWuEtAl-icheck_factwatcher,
  title        = {Finding, Monitoring, and Checking Claims
                  Computationally Based on Structured Data},
  author       = {Brett Walenz and You Wu and Seokhyun Song and Emre
                  Sonmez and Eric Wu and Kevin Wu and Pankaj K Agarwal
                  and Jun Yang and Naeemul Hassan and Afroza Sultana
                  and Gensheng Zhang and Chengkai Li and Cong Yu},
  journal      = cjsymp,
  year         = {2014}
}

% rank aggregation
@article{biom38-Kendall-kendall_tau,
  title        = {A New Measure of Rank Correlation},
  author       = {M.G. Kendall},
  journal      = {Biometrika},
  volume       = {30},
  number       = {1/2},
  pages        = {81--93},
  year         = {1938},
  publisher    = {JSTOR}
}

@InProceedings{www01-DworkKumarEtAl-rank_aggr,
  title        = {Rank Aggregation Methods for the Web},
  author       = {Cynthia Dwork and Ravi Kumar and Moni Naor and
                  D. Sivakumar},
  crossref     = {www01},
  pages        = {613--622}
}

@InProceedings{icde03-TsaparasThemistoklisEtAl-rank_join,
  title        = {Ranked Join Indices},
  author       = {Panayiotis Tsaparas and Themistoklis Palpanas and
                  Yannis Kotidis and Nick Koudas and
                  Divesh Srivastava},
  crossref     = {icde03},
  pages        = {277--288}
}

% top-k
@InProceedings{sigir98-CarbonellGoldstein-mmr,
 title         = {The Use of MMR, Diversity-based Reranking for
                  Reordering Documents and Producing Summaries},
 author        = {Jaime Carbonell and Jade Goldstein},
 crossref      = {sigir98},
 pages         = {335--336},
} 

@InProceedings{icml05-GuestrinKrauseSingh-optimal_sensor_placement,
  title        = {Near-optimal Sensor Placements in Gaussian
                  Processes},
  author       = {Carlos Guestrin and Andreas Krause and
                  Ajit Paul Singh},
  crossref     = {icml05},
  pages        = {265--272},
  year         = {2005},
}

@InProceedings{sigmod07-LuoLinEtAl-spark,
  title        = {Spark: Top-k Keyword Query in Relational Databases},
  author       = {Yi Luo and Xuemin Lin and Wei Wang and Xiaofang
                  Zhou},
  crossref     = {sigmod07},
  pages        = {115--126},
}

@InProceedings{vldb07-YiuMamoulis-multi_dom,
  title        = {Efficient Processing of Top-k Dominating Queries on
                  Multi-dimensional Data},
  author       = {Man Lung Yiu and Nikos Mamoulis},
  crossref     = {vldb07},
  pages        = {483--494}
}

@InProceedings{icde10-VlachouDoulkeridisEtAl-reverse_topk,
  title        = {Reverse Top-k Queries},
  author       = {Akrivi Vlachou and Christos Doulkeridis and
                  Yannis Kotidis and Kjetil Norvag},
  crossref     = {icde10},
  pages        = {365--376}
}

@InProceedings{vldb12-QinYuChang-diversify_topk,
  title        = {Diversifying Top-K Results},
  author       = {Lu Qin and Jeffrey Xu Yu and Lijun Chang},
  crossref     = {vldb12},
  pages        = {1124--1135}
}

@Article{tods13-CatalloCiceriEtAl-topk_diverse,
  title        = {Top-k Diversity Queries over Bounded Regions},
  author       = {Ilio Catallo adn Eleonora Ciceri and
                  Piero Fraternali and Davide Martinenghi and
                  Marco Tagliasacchi},
  journal      = tods,
  volume       = {38},
  number       = {2}
}

% recommender system
@Article{tkde05-AdomaviciusTuzhilin-next_gen_recsys,
  title        = {Toward the Next Generation of Recommender Systems:
                  A Survey of the State-of-the-art and Possible
                  Extensions},
  author       = {Gediminas Adomavicius and Alexander Tuzhilin},
  journal      = tkde,
  volume       = {17},
  number       = {6},
  pages        = {734--749},
  year         = {2005},
  publisher    = {IEEE}
}

@Article{pnas10-ZhouKuscsikEtAl-rec_sys_dilemma,
  title        = {Solving the Apparent Diversity-accuracy Dilemma of
                  Recommender Systems},
  author       = {Tao Zhou and Zolt{\'a}n Kuscsik and Jian-Guo Liu and
                  Mat{\'u}{\v{s}} Medo and Joseph Rushton Wakeling and
                  Yi-Cheng Zhang},
  journal      = pnas,
  volume       = {107},
  number       = {10},
  pages        = {4511--4515},
  year         = {2010},
}

@Article{infosci13-OrtegaSanchezEtAl-cf_rec_pareto,
  title        = {Improving Collaborative Filtering-based Recommender
                  Systems Results Using Pareto Dominance},
  author       = {Fernando Ortega and Jos{\'e}-Luis S\'{a}Nchez and
                  Jes\'{u}S Bobadilla and Abraham Guti{\'e}Rrez},
  journal      = infosci,
  volume       = {239},
  year         = {2013},
  pages        = {50--61},
}

@Article{kbs13-BobadillaOrtegaEtAl-rec_sys_survey,
  title        = {Recommender Systems Survey},
  author       = {J. Bobadilla and F. Ortega and A. Hernando and
                  A. Guti{\'e}rrez},
  journal      = kbs,
  volume       = {46},
  year         = {2013},
  pages        = {109--132},
} 

@InProceedings{repsys13-BeelLangerGenzmehr-survey,
  title        = {Research Paper Recommender System Evaluation: a
                  Quantitative Literature Survey},
  author       = {Joeran Beel and Stefan Langer and Marcel Genzmehr
                  and Bela Gipp and Corinna Breitinger and
                  Andreas N{\"u}rnberger},
  crossref     = {repsys13},
  pages        = {15--22},
}

@InProceedings{sigkdd13-KabburNingKarypis-fism,
  title        = {FISM: Factored Item Similarity Models for Top-N
                  Recommender Systems},
  author       = {Santosh Kabbur and Xia Ning and George Karypis},
  crossref     = {sigkdd13},
  pages        = {659--667}
}

@Article{compcomm14-YangYangEtAl-social_rec_survey,
  title        = {A Survey of Collaborative Filtering Based Social
                  Recommender Systems},
  author       = {Xiwang Yang and Yang Guo and Yong Liu and
                  Harald Steck},
  journal      = {Computer Communications},
  volume       = {41},
  pages        = {1--10},
  year         = {2014},
  publisher    = {Elsevier}
}

@InProceedings{sigkdd14-RenLiuEtAl-cluscite,
  title        = {ClusCite: Effective Citation Recommendation by
                  Information Network-Based Clustering},
  author       = {Xiang Ren and Jialu Liu and Xiao Yu and
                  Urvashi Khandelwal and Quanquan Gu and Lidan Wang
                  and Jiawei Han},
  crossref     = {sigkdd14},
  pages        = {821--830}
}

@InProceedings{sigkdd14-HasanKashyapEtAl-adaptive_diverse,
  title        = {User Effort Minimization Through Adaptive
                  Diversification},
  author       = {Mahbub Hasan and Abhijith Kashyap and
                  Vagelis Hristidis and Vassilis J. Tsotras},
  crossref     = {sigkdd14},
  pages        = {203--212}
}

% skyline
@article{jacm78-BentleyKungEtAl-avg_maxima,
  title        = {On the Average Number of Maxima in a Set of Vectors
                  and Applications},
  author       = {J.L. Bentley and H.T. Kung and M. Schkolnick and
                  C.D. Thompson},
  journal      = jacm,
  volume       = {25},
  number       = {4},
  pages        = {536--543},
  year         = {1978},
}

@Article{ips89-Buchta-avg_maxima,
  title        = {On the Average Number of Maxima in a Set of
                  Vectors},
  author       = {Christian Buchta},
  journal      = ipl,
  volume       = {33},
  number       = {2},
  pages        = {63--65},
  year         = {1989},
  publisher    = {Elsevier}
}

@InProceedings{icde01-BorzsonyiKossmanStocker-skyline,
  title        = {The Skyline Operator},
  author       = {Stephan B{\"o}rzs{\"o}nyi and Donald Kossmann and
                  Konrad Stocker},
  crossref     = {icde01},
  pages        = {421--430}
}

@InProceedings{vldb01-TanEngOoi-progressive_sky,
  title        = {Efficient Progressive Skyline Computation},
  author       = {Kian-Lee Tan and Pin-Kwang Eng and Beng Chin Ooi},
  crossref     = {vldb01},
  pages        = {310--310}
}

@InProceedings{vldb02-KossmanRamsakRost-star_sky,
  title        = {Shooting Stars in the Sky: An Online Algorithm for
                  Skyline Queries},
  author       = {Donald Kossmann and Frank Ramsak and Steffen Rost},
  crossref     = {vldb02},
  pages        = {275--286},
}

@InProceedings{icde03-ChomickiGodfreyEtAl-skyline_presort,
  title        = {Skyline with Presorting},
  author       = {Jan Chomicki and Parke Godfrey and Jarek Gryz and
                  Dongming Liang},
  crossref     = {icde03},
  pages        = {711--719}
}

@Article{tods05-PapadiasTaoEtAl-progressive_sky,
  title        = {Progressive Skyline Computation in Database
                  Systems},
  author       = {Dimitris Papadias and Yufei Tao and Greg Fu and
                  Bernhard Seeger},
  journal      = tods,
  volume       = {30},
  number       = {1},
  pages        = {41--82},
  year         = {2005},
}

@InProceedings{vldb05-GodfreyShipleyGryz-max_vec,
  title        = {Maximal Vector Computation in Large Data Sets},
  author       = {Parke Godfrey and Ryan Shipley and Jarek Gryz},
  crossref     = {vldb05},
  pages        = {229--240}
}

@Article{tods06-PeiYuanEtAl-multi_sky,
  title        = {Towards Multidimensional Subspace Skyline Analysis},
  author       = {Jian Pei and Yidong Yuan and Xuemin Lin and Wen Jin
                  and Martin Ester and Qing Liu and Wei Wang and
                  Yufei Tao and Jeffrey Xu Yu and Qing Zhang},
  journal      = tods,
  volume       = {31},
  number       = {4},
  pages        = {1335--1381},
  year         = {2006},
}

@InProceedings{icde06-TaoXiaoPei-subsky,
  title        = {Subsky: Efficient Computation of Skylines in
                  Subspaces},
  author       = {Yufei Tao and Xiaokui Xiao and Jian Pei},
  crossref     = {icde06},
}

@InProceedings{icde07-LinYuanEtAl-rep_sky,
  title        = {Selecting Stars: The k Most Representative Skyline
                  Operator},
  author       = {Xuemin Lin and Yidong Yuan and Qing Zhang and
                  Ying Zhang},
  crossref     = {icde07},
  pages        = {86--95}
}

@InProceedings{vldb10-RaissiPeiKister-skycube,
  title        = {Computing Closed Skycubes},
  author       = {Chedy Ra{\"\i}ssi and Jian Pei and Thomas Kister},
  crossref     = {vldb10},
  pages        = {838--847}
}

@Article{tkde11-LuJensenZhang-sky_size,
  title        = {Flexible and Efficient Resolution of Skyline Query
                  Size Constraints},
  author       = {Hua Lu and Christian S. Jensen and Zhenjie Zhang},
  journal      = tkde,
  volume       = {23},
  number       = {2},
  pages        = {204--217},
  year         = {2011}
}

% data cube
@Article{sigmodrec99-BeyerRamakrishnan-cube,
  title        = {Bottom-up computation of sparse and Iceberg CUBE},
  author       = {Kevin Beyer and Raghu Ramakrishnan},
  journal      = sigmodrec,
  volume       = {28},
  number       = {2},
  pages        = {359--370},
  year         = {1999}
}

@Article{vldb09-WuXinEtAl-promo,
  title        = {Promotion Analysis in Multi-dimensional Space},
  author       = {Tianyi Wu and Dong Xin and Qiaozhu Mei and Jiawei Han},
  journal      = pvldb,
  volume       = {2},
  number       = {1},
  pages        = {109--120},
}

@InProceedings{edbt10-WuSunEtAl-online_promo,
  title        = {Region-based online promotion analysis},
  author       = {Tianyi Wu and Yizhou Sun and Cuiping Li and
                  Jiawei Han},
  crossref     = {edbt10},
  pages        = {63--74}
}

% geometry
@Article{ips79-Andrew-2d_convex_hull,
  title        = {Another Efficient Algorithm for Convex Hulls in Two
                  Dimensions},
  author       = {A.M. Andrew},
  journal      = ipl,
  volume       = {9},
  number       = {5},
  pages        = {216--219},
  year         = {1979},
  publisher    = {Elsevier}
}

@Article{siam88-Chazelle-range_search,
  title        = {A Functional Approach to Data Structures and its Use
                  in Multidimensional Searching},
  author       = {Bernard Chazelle},
  journal      = sicomp,
  volume       = {17},
  number       = {3},
  pages        = {427--462},
  year         = {1988},
}

@Article{algo90-MehlhornNasher-frac_cascade,
  title        = {Dynamic Fractional Cascading},
  author       = {Kurt Mehlhorn and Stefan N{\"a}her},
  journal      = {Algorithmica},
  volume       = {5},
  number       = {1-4},
  pages        = {215--241},
  year         = {1990},
  publisher    = {Springer}
}

@Article{ccg05-AgarwalHarPeledVaradarajan-coreset_survey,
  title        = {Geometric Approximation via Coresets},
  author       = {Pankaj K Agarwal and Sariel Har-Peled and
                  Kasturi R Varadarajan},
  journal      = ccg,
  volume       = {52},
  pages        = {1--30},
  year         = {2005},
  publisher    = {Cambridge University Press New York}
}

@Article{vldb09-WongOzsuEtAl-max_bichromatic_rnn,
  title        = {Efficient Method for Maximizing Bichromatic Reverse
                  Nearest Neighbor},
  author       = {Raymond Chi-Wing Wong and M. Tamer Ozsu and
                  Philip S. Yu and Ada Wai-Chee Fu and Lian Liu},
  journal      = pvldb,
  volume       = {2},
  number       = {1},
  pages        = {1126--1137},
}

% outlier detection
@Article{air04-HodgeAustin-outlier_detection_survey,
  title        = {A Survey of Outlier Detection Methodologies},
  author       = {Victoria Hodge and Jim Austin},
  journal      = air,
  volume       = {22},
  number       = {2},
  pages        = {85--126},
  year         = {2004},
  publisher    = {Springer}
}

@Article{csur07-ChandolaBanerjeeKumar-anomaly_detection_survey,
  title        = {Anomaly Detection: A Survey},
  author       = {Varun Chandola and Arindam Banerjee and Vipin Kumar},
  journal      = csur,
  volume       = {41},
  number       = {3},
  year         = {2007}
}

@InProceedings{sigkdd14-GunnemannGunnemannFaloutsos-rating_anomaly,
  title        = {Detecting Anonalies in Dynamic Rating Data: A Robust
                  Probabilistic Model for Rating Evolution},
  author       = {Stephan Günnemann and Nikou Günnemann and
                  Christos Faloutsos},
  crossref     = {sigkdd14},
  pages        = {841--850}
}

@InProceedings{sigkdd14-YuHeLiu-group_anomaly,
  title        = {GLAD: Group Anomaly Detection in Social Media
                  Analysis},
  author       = {Qi Rose Yu and Xinran He and Yan Liu},
  crossref     = {sigkdd14},
  pages        = {372--381}
}

% subgroup discovery
@Article{aida03-KavsekLavracJovanoski-apriori_sd,
  title        = {APRIORI-SD: Adapting Association Rule Learning to
                  Subgroup Discovery},
  author       = {Branko Kav{\v{s}}ek and Nada Lavra{\v{c}} and
                  Viktor Jovanoski},
  journal      = aida#{ V},
  pages        = {230--241},
  year         = {2003},
  publisher    = {Springer}
}

@Article{ilp2003-LavracZeleznyFlach-rsd,
  title        = {RSD: Relational Subgroup Discovery through
                  First-order Feature Construction},
  author       = {Nada Lavra{\v{c}} and Filip {\v{Z}}elezn{\`y} and
                  Peter A. Flach},
  journal      = {ilp},
  pages        = {149--165},
  year         = {2003},
  publisher    = {Springer}
}

@Article{jmlr04-LavracKavsekEtAl-cn2_sd,
  title        = {Subgroup Discovery with CN2-SD},
  author       = {Nada Lavra{\v{c}} and Branko Kav{\v{s}}ek and
                  Peter A. Flach and Ljup{\v{c}}o Todorovski},
  journal      = jmlr,
  volume       = {5},
  pages        = {153--188},
  year         = {2004},
  publisher    = {JMLR. org}
}

@InProceedings{pkdd06-AtzmullerPuppe-sdmap,
  title        = {SD-Map--A Fast Algorithm for Exhaustive Subgroup
                  Discovery},
  author       = {Martin Atzm{\"u}ller and Frank Puppe},
  crossref     = {pkdd06},
  pages        = {6--17},
  publisher    = {Springer}
}

% data mining
@InProceedings{vldb94-AgrawalSrikant-mine_association_rule,
  title        = {Fast Algorithms for Mining Association Rules},
  author       = {Rakesh Agrawal and Ramakrishnan Srikant},
  crossref     = {vldb94},
  pages        = {487--499},
}

@InProceedings{aaai05-ParidaRamakrishnan-redescription,
  title        = {Redescription Mining: Structure Theory and
                  Algorithms},
  author       = {Laxmi Parida and Naren Ramakrishnan},
  crossref     = {aaai05},
  pages        = {837--844},
}

@Article{aikdd06-SunPapadimitriouFaloutsos-stream_pattern,
  title        = {Distributed Pattern Discovery in Multiple Streams},
  author       = {Jimeng Sun and Spiros Papadimitriou and
                  Christos Faloutsos},
  journal      = aikdd,
  pages        = {713--718},
  year         = {2006},
  publisher    = {Springer}
}

@Article{datamine06-ZhangZaki-local_pattern,
  title        = {Mining Multiple Data Sources: Local Pattern
                  Analysis},
  author       = {Shichao Zhang and Mohammed Javeed Zaki},
  journal      = datamine,
  volume       = {12},
  number       = {2},
  pages        = {121--125},
  year         = {2006},
  publisher    = {Springer}
}

@Article{jitdm06-YangWu-10_problems,
  title        = {10 Challenging Problems in Data Mining Research},
  author       = {Qiang Yang and Xindong Wu},
  journal      = jitdm,
  volume       = {5},
  number       = {4},
  pages        = {597--604},
  year         = {2006},
  publisher    = {World Scientific}
}

@InProceedings{kdd07-TianWeissEtAl-feature_mining,
  title        = {A Combinatorial Fusion Method for Feature Mining},
  author       = {Ye Tian and Gary Weiss and D. Frank and
                  Hsu Qiang Ma},
  booktitle    = {Proceedings fo KDD' 07 Workshop on Mining Multiple
                  Information Sources},
  year={2007}
}

@Article{lego08-KnobbeCremilleuxEtAl-lego,
  title        = {From Local Patterns to Global Models: The LeGo
                  Approach to Data Mining},
  author       = {Arno Knobbe and Bruno Cr{\'e}milleux and
                  Johannes F{\"u}rnkranz and Martin Scholz},
  journal      = {LeGo},
  volume       = {8},
  pages        = {1--16},
  year         = {2008},
  publisher    = {Citeseer}
}

@InProceedings{sigkdd11-JiangLiEtAl-prominent_streak,
  title       = {Prominent Streak Discovery in Sequence Data},
  author      = {Xiao Jiang and Chengkai Li and Ping Luo and Min Wang
                 and Yong Yu},
  crossref    = {sigkdd11},
  pages       = {1280--1288}
}

@InProceedings{sigkdd14-GrabockaSchillignEtAl-shapelets,
  title        = {Learning Time-Series Shapelets},
  author       = {Josif Grabocka and Nicolas Schilling and
                  Martin Wistuba and Lars Schmidt-Thieme},
  crossref     = {sigkdd14},
  pages        = {392--401}
}

% math
@Article{tpa71-VapnikChervonenkis-rel_freq,
  title        = {On the Uniform Convergence of Relative Frequencies
                  of Events to Their Probabilities},
  author       = {Vladimir N Vapnik and A Ya Chervonenkis},
  journal      = tpa,
  volume       = {16},
  number       = {2},
  pages        = {264--280},
  year         = {1971},
  publisher    = {SIAM}
}

@Article{mp78-NemhauserWolseyFisher-approx_submodular,
  title        = {An Analysis of Approximations for Maximizing
                  Submodular Set Functions—I},
  author       = {George L Nemhauser and Laurence A Wolsey and
                  Marshall L Fisher},
  journal      = mp,
  volume       = {14},
  number       = {1},
  pages        = {265--294},
  year         = {1978},
  publisher    = {Springer}
}

@Book{springer03-Schrijver-comb_opt,
  title        = {Combinatorial Optimization: Polyhedra and Efficiency},
  author       = {Alexander Schrijver},
  volume       = {24},
  year         = {2003},
  publisher    = {Springer}
}

@Article{oo07-GoundanSchulz-greedy_submodular_max,
  title        = {Revisiting the Greedy Approach to Submodular
                  Set Function Maximization},
  author       = {Pranava R Goundan and Andreas S Schulz},
  journal      = oo,
  pages        = {1--25},
  year         = {2007}
}

@Article{arxiv12-Phillips-chernoff,
  title        = {Chernoff-Hoeffding Inequality and Applications},
  author       = {Jeff M Phillips},
  journal      = {arXiv preprint arXiv:1209.6396},
  year         = {2012}
}

@InProceedings{soda14-BuchbinderFeldmanEtAl-submodular_max,
  title        = {Submodular Maximization with Cardinality Constraints},
  author       = {Niv Buchbinder and Moran Feldman and
                  Joseph Seffi Naor and Roy Schwartz},
  crossref     = {soda14},
  pages        = {1433--1452},
}

% misc
@Article{siam75-Young-social_score,
  title        = {Social Choice Scoring Functions},
  author       = {H.P. Young},
  journal      = siam,
  pages        = {824--838},
  year         = {1975},
  publisher    = {JSTOR}
}

@InProceedings{cv98-RubnerTomasiGuibas-emd,
  title        = {A Metric for Distributions with Applications
                  to Image Databases},
  author       = {Yossi Rubner and Carlo Tomasi and
                  Leonidas J Guibas},
  crossref     = {cv98},
  pages        = {59--66},
  organization = {IEEE}
}

@InProceedings{ec08-XiaConitzer-coalition_manipulate,
  title        = {Generalized Scoring Rules and the Frequency of
                  Coalitional Manipulability},
  author       = {Lirong Xia and Vincent Conitzer},
  crossref     = {ec08},
  pages        = {109--118},
  year         = {2008},
}

@InProceedings{aaai08-XiaConitzer-winner_partial_order,
  title        = {Determining Possible and Necessary Winners under
                  Common Voting Rules given Partial Orders},
  author       = {Lirong Xia and Vincent Conitzer},
  crossref     = {aaai08},
  pages        = {196--201},
}

@Article{tocs08-ChangDeanEtAl-bigtable,
  title        = {Bigtable: A Distributed Storage System for
                  Structured Data},
  author       = {Fay Chang and Jeffrey Dean and Sanjay Ghemawat and
                  Wilson C Hsieh and Deborah A Wallach and
                  Mike Burrows and Tushar Chandra and Andrew Fikes and
                  Robert E Gruber},
  journal      = tocs,
  volume       = {26},
  number       = {2},
  pages        = {4},
  year         = {2008},
  publisher    = {ACM}
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@InProceedings{icde09-AgrawalWidom-conf_join,
  title        = {Confidence-Aware Join Algorithms},
  author       = {Parag Agrawal and Jennifer Widom},
  crossref     = {icde09},
  pages        = {628--639},
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@InProceedings{icdm13-WangChangEtAl-high_dim_kmeans,
  title        = {Sparse K-Means with the $l_q(0\leq q<1)$ Constraint
                  for High-Dimensional Data Clustering},
  author       = {Yu Wang, Xiangyu Chang, Rongjian Li, Zongben Xu},
  crossref     = {icdm13},
  pages        = {797--806}
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@InProceedings{sigkdd13-DasMoralesEtAl-question_shopping,
  title        = {Learning to Question: Leveraging User Preferences
                  for Shopping Advice},
  author       = {Mahashweta Das and Gianmarco De Francisci Morales
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  crossref     = {sigkdd13},
  pages        = {203--211},
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@InProceedings{sigkdd14-GuSunEtAl-voting_ideology,
  title        = {Topic-Factorized Ideal Point Estimation Model for
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  author       = {Yupeng Gu and Yizhou Sun adn Ning Jiang and
                  Bingyu Wang and Ting Chen},
  crossref     = {sigkdd14},
  pages        = {183--192}
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@InProceedings{sigkdd14-YinWang-shorttext_cluster,
  title        = {A Dirichlet Multinomial Mixture Model-based Approach
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  author       = {Jianhua Yin and Jianyong Wang},
  crossref     = {sigkdd14},
  pages        = {233--242}
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@Article{vldb14-JugelJerzakEtAl-m4,
  title        = {M4: a Visualization-oriented Time Series Data
                  Aggregation},
  author       = {Uwe Jugel and Zbigniew Jerzak and
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  journal      = pvldb,
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  number       = {10},
  pages        = {797--808},
  year         = {2014}
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@InProceedings{ccece13-BurtiniFazackerleyLawrence-time_series_compress,
  title        = {Time Series Compression for Adaptive Chart
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  author       = {Giuseppe Burtini and Scott Fazackerley and
                  Ramon Lawrence},
  booktitle    = {Electrical and Computer Engineering (CCECE),
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  pages        = {1--6},
  year         = {2013},
  organization = {IEEE}
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@InProceedings{avi12-KandelParikhEtAl-profiler,
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  author       = {Sean Kandel and Ravi Parikh and Andreas Paepcke and
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  crossref     = {avi12},
  pages        = {547--554},
  year         = {2012},
  organization = {ACM}
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@InProceedings{dasfaa03-DoshiRundensteinerWard-prefetch_vis,
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  pages        = {195--202},
  year         = {2003},
  organization = {IEEE}
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@inproceedings{ldav11-Fisher-explore_vis,
  title        = {Incremental, Approximate Database Queries and
                  Uncertainty for Exploratory Visualization},
  author       = {Danyel Fisher},
  crossref     = {ldav11},
  pages        = {73--80},
  year         = {2011},
  organization = {IEEE}
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@inproceedings{chi12-FisherPopovEtAl-inc_vis,
  title        = {Trust Me, I'm Partially Right: Incremental
                  Visualization Lets Analysts Explore Large Datasets
                  Faster},
  author       = {Danyel Fisher and Igor Popov and Steven Drucker and
                  mc schraefel},
  crossref     = {chi12},
  pages        = {1673--1682},
  year         = {2012},
  organization = {ACM}
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@article{arxiv2014-KimBlaisEtAl-sample_vis,
  title        = {Rapid Sampling for Visualizations with Ordering 
                  Guarantees},
  author       = {Albert Kim and Eric Blais and Aditya Parameswaran
                  and Piotr Indyk and Sam Madden and Ronitt Rubinfeld},
  journal      = {arXiv preprint arXiv:1412.3040},
  year         = {2014}
}
